This workshop introduces graduate students to using Large Language Models (LLMs) to accelerate research coding and everyday technical work. The session focuses on hands-on workflows for writing and refactoring code, debugging errors, cleaning and transforming data, and generating analysis templates. It also highlights responsible use, including verification habits, privacy awareness, and academic integrity. Participants will leave with reusable prompt templates and a clear framework for integrating LLM assistance into reproducible research.